Machine Learning Engineer, Stripe

• Over 3+ years industry experience building machine learning applications in large scale distributed systems
• 2+ year of experience working within a team responsible for developing, managing, and optimizing ML models or ML infrastructure
• Experience designing and training machine learning models to solve critical business problems
• Experience performing analysis, including querying data, defining metrics, or slicing and dicing data to model performance and business metrics

Desirable

• You will work closely with software engineers, data scientists (DS), and platform infrastructure teams to design, build, deploy, and operate Stripe’s ML-backed payment decisioning systems
• Design machine learning systems and pipelines for training and running machine learning models that improve the efficiency of transactions on Stripe. This could involve:
• Building prediction models for new aspects of transaction outcomes, like whether we expect to win a dispute given auto-submitted evidence
• Improving the accuracy of our prediction models for transaction outcomes, like whether a payment will be accepted or declined by the card network, or disputed as fraudulent by a cardholder
• Understanding our users’ business needs in order to evaluate model performance and improve the value model we use to evaluate transaction outcomes
• Developing and evaluating new model architectures which improve the accuracy of our prediction models
• Incorporate new features and sources of data
• Writing simulation code on our distributed clusters to help us understand what would happen across different segments if we changed how we action our models
• Integrating new models and behaviors into Stripe’s core payment flow
• Collaborating with our machine learning infrastructure team to build support for new model types into our scoring infrastructure
• Mentor engineers earlier in their technical careers to help them grow

• Unlimited paid time off policy
• Work from home opportunities
• Comprehensive mental, physical and medical health plans
• Fertility benefits and parental leave

Total funding: $8.7bn

Stripe, nowadays a FinTech giant, spent the first few years since its founding building up its payments business, which primarily consisted of providing an API to eCommerce businesses so that they could easily integrate a payments option in their apps or websites, where before there was none.